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Quantum-inspired evolutionary optimization of SLMoS2 two-phase structures

Kuś Wacław, Mrozek Adam

Computer Methods in Materials Science

2022

Vol. 22, No. 2

67--78

The paper focuses on applying a Quantum Inspired Evolutionary Algorithm to achieve the optimization of 2D material containing two phases, 2H and 1T, of Molybdenum Disulphide (MoS2 ). The goal of the optimization is to obtain a nanostructure with tailored mechanical properties. The design variables describe the shape of inclusion made from phase 1T in the 2H unit cell. The modification of the size of the inclusions leads to changes in the mechanical properties. The problem is solved with the use of computed mechanical properties on the basis of the Molecular Statics approach with ReaxFF potentials.

A Quantum-Inspired Evolutionary Algorithm Based on P systems for Knapsack Problem

Zhang G-X., Gheorghe M., Wu C-Z.

Fundamenta Informaticae

2008

Vol. 87, nr 1

93-116

This paper introduces an evolutionary algorithm which uses the concepts and principles of the quantum-inspired evolutionary approach and the hierarchical arrangement of the compartments of a P system. The P system framework is also used to formally specify this evolutionary algorithm. Extensive experiments are conducted on a well-known combinatorial optimization problem, the knapsack problem, to test the effectiveness of the approach. These experimental results show that this evolutionary algorithm performs better than quantum-inspired evolutionary algorithms, for certain arrangements of the compartments of the P system structure utilized.